32 citations · 109 across the 18 of their papers we have counts for
26 papers · 1 filter
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
Mael Jullien, Marco Valentino, Andre Freitas
With the methodological support of probing (or diagnostic classification), recent studies have demonstrated that Transformers encode syntactic and semantic information to some exte…
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
Giangiacomo Mercatali, André Freitas
The ability of learning disentangled representations represents a major step for interpretable NLP systems as it allows latent linguistic features to be controlled. Most approaches…
Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems
Oskar Wysocki, Malina Florea, Donal Landers +1
This paper proposes a novel statistical corpus analysis framework targeted towards the interpretation of Natural Language Processing (NLP) architectural patterns at scale. The prop…
Context-Preserving Text Simplification
Christina Niklaus, Matthias Cetto, André Freitas +1
We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences.…
Encoding Explanatory Knowledge for Zero-shot Science Question Answering
Zili Zhou, Marco Valentino, Donal Landers +1
This paper describes N-XKT (Neural encoding based on eXplanatory Knowledge Transfer), a novel method for the automatic transfer of explanatory knowledge through neural encoding mec…
Supporting Context Monotonicity Abstractions in Neural NLI Models
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan +2
Natural language contexts display logical regularities with respect to substitutions of related concepts: these are captured in a functional order-theoretic property called monoton…